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Michael I. Miller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jorge Jovicich, Mirza Faisal Beg, Steve Pieper, Carey E. Priebe, Michael I. Miller, Randy L. Buckner, Bruce Rosen
    Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:288-293 [Conf]
  2. Yan Cao, Michael I. Miller, Raimond L. Winslow, Laurent Younes
    Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:1379-1386 [Conf]
  3. Michael I. Miller, Alain Trouvé, Laurent Younes
    The metric spaces, Euler equations, and normal geodesic image motions of computational anatomy. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:635-638 [Conf]
  4. Sarang C. Joshi, Ayananshu Banerjee, Gary E. Christensen, John G. Csernansky, John W. Haller, Michael I. Miller, Lei Wang
    Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces. [Citation Graph (0, 0)][DBLP]
    IPMI, 1997, pp:381-386 [Conf]
  5. Mirza Faisal Beg, Michael I. Miller, Alain Trouvé, Laurent Younes
    Computational anatomy: computing metrics on anatomical shapes. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:341-344 [Conf]
  6. Mirza Faisal Beg, Michael I. Miller, Alain Trouvé, Laurent Younes
    The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:918-925 [Conf]
  7. Ali Khan, Elizabeth Aylward, Patrick Barta, Michael I. Miller, Mirza Faisal Beg
    Semi-automated Basal Ganglia Segmentation Using Large Deformation Diffeomorphic Metric Mapping. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2005, pp:238-245 [Conf]
  8. Kurt R. Smith, Michael I. Miller
    Bayesian Inference of Regular Grammar and Markov Source Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:388-395 [Conf]
  9. Gary E. Christensen, Sarang C. Joshi, Michael I. Miller
    Individualizing Anatomical Atlases of the Head. [Citation Graph (0, 0)][DBLP]
    VBC, 1996, pp:343-348 [Conf]
  10. Gary E. Christensen, Michael I. Miller, Michael W. Vannier, Ulf Grenander
    Individualizing Neuroanatomic Atlases Using a Massively Parallel Computer. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1996, v:29, n:1, pp:32-38 [Journal]
  11. Mirza Faisal Beg, Michael I. Miller, Alain Trouvé, Laurent Younes
    Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2005, v:61, n:2, pp:139-157 [Journal]
  12. Michael I. Miller, Laurent Younes
    Group Actions, Homeomorphisms, and Matching: A General Framework. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2001, v:41, n:1/2, pp:61-84 [Journal]
  13. Sarang C. Joshi, Michael I. Miller, Ulf Grenander
    On The Geometry and Shape of Brain Sub-Manifolds. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1997, v:11, n:8, pp:1317-1343 [Journal]
  14. Dmitri Bitouk, Michael I. Miller, Laurent Younes
    Clutter Invariant ATR. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:5, pp:817-821 [Journal]
  15. Ulf Grenander, Michael I. Miller, Anuj Srivastava
    Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:8, pp:790-802 [Journal]
  16. Avinash Jain, Pierre Moulin, Michael I. Miller, Kannan Ramchandran
    Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:9, pp:1153-1166 [Journal]
  17. N. Khaneja, Michael I. Miller, Ulf Grenander
    Dynamic Programming Generation of Curves on Brain Surfaces. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:11, pp:1260-1265 [Journal]
  18. Aaron D. Lanterman, Ulf Grenander, Michael I. Miller
    Bayesian Segmentation via Asymptotic Partition Functions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:4, pp:337-347 [Journal]
  19. Gary E. Christensen, Richard D. Rabbitt, Michael I. Miller
    Deformable templates using large deformation kinematics. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:10, pp:1435-1447 [Journal]
  20. Sarang C. Joshi, Michael I. Miller
    Landmark matching via large deformation diffeomorphisms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:8, pp:1357-1370 [Journal]
  21. Michael I. Miller, Ulf Grenander, Joseph A. O'Sullivan, Donald L. Snyder
    Automatic target recognition organized via jump-diffusion algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:1, pp:157-174 [Journal]
  22. Yali Amit, Michael I. Miller
    Large deviations for the asymptotics of Ziv-Lempel codes for 2-D Gibbs fields. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:4, pp:1271-1275 [Journal]
  23. Yali Amit, Michael I. Miller
    Large deviations for coding Markov chains and Gibbs random fields. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1993, v:39, n:1, pp:109-118 [Journal]
  24. Matthew L. Cooper, Michael I. Miller
    Information measures for object recognition accommodating signature variability. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:5, pp:1896-1907 [Journal]
  25. Daniel R. Fuhrmann, Michael I. Miller
    On the existence of positive-definite maximum-likelihood estimates of structured covariance matrices. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1988, v:34, n:4, pp:722-729 [Journal]
  26. Ulf Grenander, Anuj Srivastava, Michael I. Miller
    Asymptotic performance analysis of Bayesian target recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:4, pp:1658-1665 [Journal]
  27. Michael I. Miller, Joseph A. O'Sullivan
    Entropies and combinatorics of random branching processes and context-free languages. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:4, pp:1292-1310 [Journal]
  28. Eli Shusterman, Michael I. Miller, Bixio Rimoldi
    Rate-distortion theory applied to automatic object recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:5, pp:1921-1927 [Journal]
  29. Donald L. Snyder, Joseph A. O'Sullivan, Michael I. Miller
    The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1989, v:35, n:3, pp:536-548 [Journal]
  30. Patrick Barta, Michael I. Miller, Anqi Qiu
    A stochastic model for studying the laminar structure of cortex from MRI. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:6, pp:728-742 [Journal]
  31. Yan Cao, Michael I. Miller, Raimond L. Winslow, Laurent Younes
    Large deformation diffeomorphic metric mapping of vector fields. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:9, pp:1216-1230 [Journal]
  32. Gary E. Christensen, Sarang C. Joshi, Michael I. Miller
    Volumetric Transformation of Brain Anatomy. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1997, v:16, n:6, pp:864-877 [Journal]
  33. Carey E. Priebe, Michael I. Miller, J. Tilak Ratnanather
    Segmenting magnetic resonance images via hierarchical mixture modelling. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:50, n:2, pp:551-567 [Journal]

  34. Cardiac Motion Analysis in Ischemic and Non-Ischemic Cardiomyopathy Using Parallel Transport. [Citation Graph (, )][DBLP]


  35. Cortical Hemisphere Registration Via Large Deformation Diffeomorphic Metric Curve Mapping. [Citation Graph (, )][DBLP]


  36. Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain. [Citation Graph (, )][DBLP]


  37. Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations. [Citation Graph (, )][DBLP]


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